方位(导航)
感应电动机
定子
断层(地质)
控制理论(社会学)
振幅
签名(拓扑)
计算机科学
电磁线圈
状态监测
工程类
电压
电气工程
物理
数学
几何学
控制(管理)
量子力学
人工智能
地震学
地质学
作者
Bingnan Wang,Lei Zhou,Masahito Miyoshi,Hiroshi Inoué,Makoto Kanemaru
标识
DOI:10.23919/icems52562.2021.9634328
摘要
This paper investigates the analysis and modeling of an induction motor with ball bearing faults based on coupled-circuit model and modified winding function method (MWFM). The impact of the bearing fault is reflected in the variation of air gap profile, and the inductances terms in the coupled-circuit model are calculated and updated for each time step using MWFM. We show that dynamic simulation of an induction motor with bearing fault can be performed with the model, and the stator current spectrum can be calculated to identify the corresponding fault signatures. The method helps quantify bearing fault severity level by monitoring the amplitude of corresponding faulty current components, which facilitates condition-based monitoring of electric machines using motor current signature analysis (MCSA).
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